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If Assumption 2.9 is satisfied, then.
It is sufficient to check if assumption (iii) also holds.
The above is positive if Assumption 1 holds.
If assumption (H2) holds, then the set is bounded.
We also explored if assumption violations can be diagnosed prior to fitting N-mixture models.
Note that if Assumption 2.2 holds, then g : R 0 + → R is also everywhere differentiable.
Therefore, W ∗ is globally asymptotically stable if assumption (32) is verified.
Next, we prove u is nontrivial, i.e., u ≠ 0 if assumption (C2) holds.
If Assumption 3.1 holds, then the Markov process (Y t)) has a stationary distribution (mu ( cdot )).
If Assumption 5 is met, then one can be a bit more specific.
Moreover, if assumption (D2) is satisfied, then u > 0 in Ω.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com